IBM A1000-077 - Assessment: Foundations of AI Intermediate Practice Exam: Medium Difficulty 2025

A retail company wants to implement a recommendation system that learns from customer purchase history and browsing behavior to suggest products. The system needs to improve over time without being explicitly reprogrammed for each new pattern. Which type of AI approach is most appropriate for this scenario?

An organization is evaluating AI fairness in their loan approval system and discovers that the model has disparate impact on certain demographic groups despite not explicitly using protected attributes as features. What is the most likely cause of this bias?

A data scientist is building a neural network to classify medical images and notices the model performs excellently on training data (98% accuracy) but poorly on validation data (65% accuracy). Which combination of techniques would most effectively address this issue?

A company wants to use IBM Watson Assistant to build a customer service chatbot that can handle complex multi-turn conversations and integrate with their existing CRM system. Which Watson capabilities are essential for this implementation?

When comparing traditional machine learning algorithms to deep learning approaches, in which scenario would deep learning provide the most significant advantage?

A financial services company is implementing an AI governance framework to ensure responsible AI deployment. Which element is most critical for maintaining transparency and accountability throughout the AI lifecycle?

A development team is using IBM Watson Natural Language Understanding to analyze customer reviews. They need to extract sentiment, emotion, and key topics from thousands of reviews in multiple languages. Which approach would provide the most comprehensive analysis?

In the context of AI model training, a data scientist observes high bias and low variance in their model's predictions. What does this indicate about the model's performance and what corrective action is most appropriate?

A healthcare provider wants to use IBM Watson Discovery to enable clinicians to quickly find relevant information from thousands of medical research papers and patient records. Which Watson Discovery capabilities would be most valuable for this use case?

An e-commerce platform is implementing an AI system that automatically adjusts product prices based on demand, competition, and inventory levels. From an ethical AI perspective, which consideration should be prioritized to avoid potential harm?